A style can peak and fade inside a season while the buy that has to serve it was locked months earlier, across stores, wholesale, outlet, and e-commerce at once. Aera senses changes across demand, inventory, sourcing, and logistics; recommends actions that lift sell-through and protect margin; and executes them in your systems.
The data already exists in your systems. The cost lands in what happens between the data and the action.
Trend signals move inside a season, while the order that has to serve them was committed months earlier and cannot be unwound.
Excess builds quietly across stores, wholesale, outlet, and e-commerce, and by the time it is visible the margin has already gone.
Supplier and route decisions are made against assumptions about cost and lead time that shift well before the season arrives.
Aera automates the routine decisions, augments the complex ones, and executes both in real time. Fashion retail teams see the payoff in five areas of the business.
Forecasts run at the SKU, store, and week level and adapt on their own to trend cycles, weather, and channel signals, so a shift shows up while there is still a season left to act on it.
Excess, slow-moving, and aging stock is flagged across the network before it materializes, with the mitigation attached: redeploy to demand, redirect to outlet or off-price, mark down, or cancel the production that would have made it worse.
Contract coverage, supplier performance, and landed cost are monitored continuously across a multi-country footprint, with volume shifts, supplier switches, and contract extensions recommended before a gap compounds.
Shipments are tracked across carriers and routes, with reroutes, ETA changes, and shipping mode switches recommended while a seasonal launch or a retailer delivery window can still be protected.
Routine forecasting, allocation, and exception decisions run without a planner in the loop, so the time goes to the calls on markdowns, allocation, and sourcing that actually protect margin.
The costs have been going down and the sales have been growing above the average of the category, because we can maximize much better, more commercial plans.
Prepackaged decision logic your teams can run on day one, tuned to compressed trend cycles, markdown exposure, and a sourcing footprint that keeps shifting.
Recommends adjusted forecasts based on real-time signals, with statistical forecasts tailored to existing, new, seasonal, and promotional products.
Recommends mitigation actions before the markdown cycle starts: redeploy to high-demand locations, redirect to outlet or off-price partners, mark down, or cancel upcoming production, prioritized by financial impact.
Recommends volume adjustments, supplier switches, and contract extensions based on demand, capacity, and landed cost, and flags price variances and compliance risks before they compound.
Recommends ETA changes, reroutes to alternate locations, and shipping mode changes when a delay puts a high-priority store or a seasonal launch at risk.
How decision intelligence handles compressed trend cycles, markdown exposure, and a shifting sourcing footprint, with four Skills built for fashion retail.
What changes when demand, inventory, sourcing, and logistics decisions stop running on separate cycles.
The adjacent retail problem at a different scale: inventory accuracy, omnichannel, and supply volatility handled continuously.
